This project seeks to estimate sport fish harvest and releases of rockfish in Alaska waters by improving on the Howard et al. (2020) methods and expand the time series back to 1977 when the statewide harvest survey (SWHS) was first implemented. This is essentially a Bayesian version of the Howard methods that allows for more appropriate and defensible sharing of information between areas, handles missing data in a more appropriate manor, accurately propagates uncertainty throughout the estimation procedure and replaces the Howard decision tree approach to low sample sizes with a hierarchical model. The methods and results for generating harvest estimates are generally consistent between the Bayesian model and the Howard methods. Harvest estimates are consistent with Howard estimates during contemporary times, but may differ based on more appropriate weighting of SWHS and logbook data, including estimating and correcting bias in the SWHS data.

**Table 1.** Summary of key improvements in reconstructiing sport fish removals of rockfish using the Bayesian model as compared to the Howard et al. (2020) methods.
Issue	Howard	Bayes
Time series	1999 - present	1977 - present
Bias in SWHS	Not explicitly dealt with. Relies on logbook data and ratios of guided/unguided from SWHS data to estimate unguided releases and harvests.	Explicitly estimates bias in SWHS harvest and release estimates based on logbook data.
Species composition of releases	Assumes that species composition of releases is equal to that of the harvest, which is not evident in the logbook data.	Recognizes different release probabilities by species / species assemblage and estimates it from logbook data and bias corrected SWHS data
Sample size limitations	Uses sample size threshholds such that when areas fall below those threshholds values are borrowed from nearby areas.	Uses a hierarchichacal modelling approach that shares information between areas in the same region. Thus all data is used, even with small sample sizes. This is a more sound method that avoids assumptions and uses all of the data.
Error propogation	Error is propogated when variance estimates are available, but there is uncertainty associated with borrowing values from nearby areas, or the assumption of species compositions being identical in harvest and releases, are not dealt with.	By breaking the assumption that species composition is equal between harvests and releases, uncertainty in the release estimates is more reflective of the fishery. Furthermore, the hyerarchichal approach more accurately captures uncertainy within and between areas within a region.

Figure 1.- Data sources for estimating rockfish harvests and releases in ADF&G commercial fisheries management units. Note that initial rockfish harvest estimates were not differentiated into species assemblage or species until 1998 when logbooks began differentiating by pelagic and non-pelagic. Logbooks began to collect data on yelloweye beginning in 2006. Port sampling programs to gather data on species composition of harvests began in 1996 in Southcentral and Kodiak and in 2006 in Southeast.

Figure 2.- SWHS harvest (left) and release (right) estimates from guided trips (x-axis) versus repoted harvests from charter logbooks (y-axis).

Results

Model: LB_fit_3pH
Model Run: Gen4int_indcomp_swhsR_FULL_pHB4pars_re0full_altwt_2xcvSEo_thru2024_5e+05_noSEoR_2025-12-10 (Naming convention: modelname_thruYEAR_iters_rundate)
Proportion of parmaters converged (Rhat <= 1.1): 0.9952
See end of document for summary of unconverged parameters.

Figure X.- Rhat values and proportion of parameters that converged (Rhat < 1.1.)

Estimate comparison

Since previous estimates of rockfish harvest have been produced these first 3 graphs will be used to show how the modeled estimates compare to the estimates produced earlier. For total rockfish the estimates are in general agreement although differences are noted. These estimates should be more reliable because they include both SWHS and guide logbook data, handle variance more appropriately, use hierarchical distributions when data is missing, directly consider observation error and are produced using reproducible research.

Figure 3.- Total rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 3.- Total rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Notes from Adam: When looking at only black rockfish the most significant differences are for the Prince William Sound Inside area. I did not spend a great deal of time tracking this down although it looks like the previous version used bad values for \(P_{(black)ayu}\) for at least unguided anglers. For the moment I would ignore the results for BSIA and SOKO2SAP. I think it is possible to give approximate values for these areas but it will require a little more coding which I have yet to do.

Figure 4.- Black rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

And black rockfish releases…

Figure 5.- Black rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 6.- Yellow rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 7.- Yellow rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 8.- DSR rockfish (excluding yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 9.- DSR rockfish releases (including yelloweye) 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 11.- Slope rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 12.- Slope rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 13.- Other rockfish (non-pelagic and non-yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 14.- Other rockfish (non-pelagic and non-yelloweye) releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Total Biomass Removal Estimates

Figure 15.- Black rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 16.- Yellow rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 17.- Pelagic rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 18.- Non-yelloweye, demersal shelf rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 19.- Slope rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Model fit

Logbook residuals

Figure 20.- Residuals from logbook harvests.

SWHS residuals

Figure 21.- Residuals from SWHS harvests.

Figure 22.- Residual of SWHS releases.

Parameter estimates

P(Charter)

These histograms show the posterior distribution of the mean percent of rockfish harvested by the charter fleet.

Figure 23.- Mean percent of harvest by charter anglers.

When considered annually we see the percent of rockfish harvested by the charter fleet follows our data fairly well although the model smooths out the changes and we just do not have much information about this ratio. Prior to 2011 the percent charter is confounded with SWHS bias and should be mostly discounted.

Figure 24.- Annual estimates of the percent of harvest by charter anglers for 16 commerical fishing manamgent areas, 1996-2023.

P(Harvest)

These plots show the fitted logistic line to the proportion of caught rockfish that are harvested. These estimates are used for hindcasting catch estimates based on the harvest data in early years when catch estimates are unavailable.

Figure 25.- Annual proportion of pelagic rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 26.- Annual proportion of yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 27.- Annual proportion of non-pelagic, non-yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note, that this is not estimated for Southeast areas because non=pelagics are divided between DSR (including yelloweye) and Slope species.

Figure 28.- Annual proportion of DSR rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

Figure 29.- Annual proportion of Slope rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

SWHS bias

Figure 23 shows the mean estimate for SWHS bias in harvests and releases. Cook Inlet, North Gulf Coast and North Southeast Inside all look pretty good while most other areas have substantial bias. Prince William Sound Inside has the largest bias. Bias in release estimates is substantial and whereas the SWHS appears to underestimate harvests, it appears to greatly overestimates releases by a factor of 2 or more in most areas as derived from logbook reported releases.

Figure 30.- Mean SWHS bias for harvests and catches. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

Our estimates of SWHS harvest bias track observations fairly well when he have guided harvest estimates. The estimates of release bias in the SWHS data track observed patterns to an extent, but appear to smooth these more volatile disagreements with the logbook data. Adam postulated in his initial start on this that some of this could be the result of the estimates of the proportion guided. This value was not modelled with a trend and thus applies a constant estimate when hindcasting. Data on these relationships could greatly improve this model.

Figure 31.- Annual estimates of SWHS bias in harvests and releases for 16 commerical fishing manamgent areas, 1996-2023. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

P(pelagic)

We model the percentage of pelagic rockfish in the harvest because we have the information for charter anglers (via logbooks) starting in 1998. Other than looking at the model estimates you can use Figure 25 to compare the two data streams for pelagic rockfish harvest. In general they are in agreement with major exceptions in Price William Sound inside, Prince William Sound outside (early in the time series) and South Southeast inside.

Figure 32.- Annual estimates of the percent of the sport harvest that was pelagic rockfish for 16 commerical fishing manamgent areas, 1996-2023.

P(black|pelagic)

Note that in Southeast Alaska we only have composition data starting in 2006. Tania dug up old SE data, but it did not provide any useful data for species apportionment. For the most part, P(black|pelagic) is relatively constant across areas, with the exception of Cook Inlet and NSEI in Southeast AK. It may be worth discussing whether the shifts in those areas is a result of improved or changing species identification rather than actual shift in the species composition of the catch.

Figure 33.- Annual estimates of the percent of the sport harvest of pelagic rockfish that were black rockfish for 16 commerical fishing manamgent areas, 1996-2023. Kodiak panels include data from a hydroacoustic survey and the proportion of pelagic rockfish that are black in those areas (red) and the adjusted proportions based on obseved harvests for charter (blue) and private (cyan) users.

P(yelloweye|non-pelagic / yelloweye|DSR)

Figure 34.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were yelloweye rockfish for 16 commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(DSR|non-pelagic)

Figure 35.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were DSR rockfish for 6 Southeast commerical fishing manamgent areas, 1996-2023.

P(slope|non-pelagic)

Figure 36.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were slope rockfish for 6 southeast commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(slope|non-pelagic & non-yellowye) For release estimates

## NULL

Weight Fits

Figure 37.- Mean weights of black rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 38.- Mean weights of yelloweye rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 39.- Mean weights of non-black, pelagic rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 40.- Mean weights of non-yelloweye, demersal shelf rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 41.- Mean weights of slope rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Summary of unconverged parameters:

The proportion of unconverged species composition proportional estimates that are near the bounds of 0 or 1 is 0.4454148

The proportion of unconverged true parameters (defined as Rhat > 1.01) that are also in excess of an Rhat of 1.1 is 0.1 while 0.9 are less than 1.1.

Table Xa. Species proportion derived quantities that are not with 0.05 of the 0 and 1 bounds and are not converged relative to an Rhat of 1.01.

variable	area_n	year	user	mean	median	lower	upper	Rhat	sd	skew	area
p_pelagic	13	1	1	0.185	0.151	0.035	0.502	1.291	0.126	0.270	NSEI
p_pelagic	13	1	2	0.070	0.051	0.011	0.236	1.370	0.060	0.317	NSEI
p_pelagic	13	10	1	0.229	0.204	0.067	0.523	1.193	0.119	0.210	NSEI
p_pelagic	13	10	2	0.089	0.073	0.020	0.252	1.206	0.062	0.260	NSEI
p_pelagic	13	11	1	0.233	0.209	0.070	0.531	1.177	0.119	0.202	NSEI
p_pelagic	13	11	2	0.091	0.075	0.022	0.247	1.197	0.059	0.271	NSEI
p_yellow	13	11	1	0.407	0.361	0.132	0.965	1.012	0.207	0.222	NSEI
p_yellow	13	11	2	0.409	0.366	0.129	0.969	1.012	0.207	0.208	NSEI
p_pelagic	13	12	1	0.242	0.218	0.072	0.535	1.169	0.121	0.199	NSEI
p_pelagic	13	12	2	0.097	0.081	0.023	0.256	1.196	0.062	0.259	NSEI
p_yellow	13	12	2	0.408	0.362	0.132	0.966	1.011	0.208	0.221	NSEI
p_pelagic	13	13	1	0.254	0.233	0.081	0.558	1.128	0.121	0.173	NSEI
p_pelagic	13	13	2	0.101	0.084	0.027	0.271	1.165	0.064	0.265	NSEI
p_pelagic	13	14	1	0.248	0.230	0.087	0.507	1.112	0.110	0.163	NSEI
p_pelagic	13	14	2	0.102	0.089	0.028	0.249	1.125	0.059	0.220	NSEI
p_pelagic	13	15	1	0.230	0.213	0.079	0.484	1.095	0.105	0.161	NSEI
p_pelagic	13	15	2	0.100	0.087	0.029	0.241	1.116	0.057	0.230	NSEI
p_yellow	13	15	1	0.400	0.353	0.123	0.967	1.012	0.208	0.226	NSEI
p_yellow	13	15	2	0.404	0.358	0.129	0.970	1.011	0.207	0.222	NSEI
p_pelagic	13	16	1	0.269	0.251	0.101	0.523	1.105	0.112	0.161	NSEI
p_pelagic	13	16	2	0.112	0.100	0.033	0.263	1.088	0.059	0.203	NSEI
p_yellow	13	16	2	0.412	0.362	0.132	0.969	1.012	0.208	0.240	NSEI
p_pelagic	13	17	1	0.289	0.273	0.114	0.565	1.077	0.114	0.141	NSEI
p_pelagic	13	17	2	0.121	0.108	0.036	0.284	1.078	0.065	0.199	NSEI
p_pelagic	13	18	1	0.301	0.286	0.121	0.559	1.048	0.114	0.132	NSEI
p_pelagic	13	18	2	0.128	0.114	0.043	0.286	1.070	0.064	0.220	NSEI
p_pelagic	13	19	1	0.311	0.298	0.127	0.570	1.058	0.114	0.114	NSEI
p_pelagic	13	19	2	0.133	0.120	0.044	0.301	1.060	0.066	0.197	NSEI
p_yellow	13	19	2	0.409	0.361	0.121	0.966	1.012	0.208	0.230	NSEI
p_pelagic	13	2	1	0.187	0.154	0.038	0.503	1.326	0.126	0.263	NSEI
p_pelagic	13	2	2	0.073	0.054	0.011	0.248	1.338	0.062	0.306	NSEI
p_pelagic	13	20	1	0.323	0.309	0.138	0.577	1.041	0.113	0.123	NSEI
p_pelagic	13	20	2	0.143	0.129	0.050	0.310	1.044	0.068	0.205	NSEI
p_yellow	13	20	1	0.403	0.355	0.122	0.964	1.013	0.208	0.231	NSEI
p_yellow	13	20	2	0.412	0.367	0.123	0.970	1.012	0.207	0.217	NSEI
p_pelagic	13	21	1	0.347	0.336	0.153	0.600	1.016	0.116	0.095	NSEI
p_pelagic	13	21	2	0.155	0.141	0.052	0.335	1.034	0.073	0.193	NSEI
p_yellow	13	21	1	0.406	0.358	0.126	0.966	1.011	0.206	0.233	NSEI
p_yellow	13	21	2	0.409	0.363	0.132	0.968	1.013	0.208	0.221	NSEI
p_pelagic	13	22	2	0.159	0.149	0.058	0.314	1.024	0.069	0.144	NSEI
p_yellow	13	22	1	0.401	0.356	0.131	0.968	1.011	0.207	0.217	NSEI
p_pelagic	13	23	2	0.107	0.097	0.040	0.221	1.010	0.049	0.206	NSEI
p_yellow	13	23	2	0.459	0.424	0.147	0.975	1.012	0.211	0.166	NSEI
p_yellow	13	26	1	0.364	0.312	0.098	0.958	1.014	0.210	0.247	NSEI
p_yellow	13	27	1	0.356	0.300	0.102	0.956	1.015	0.208	0.269	NSEI
p_yellow	13	28	1	0.360	0.313	0.106	0.940	1.018	0.200	0.235	NSEI
p_yellow	13	28	2	0.451	0.417	0.159	0.967	1.010	0.201	0.169	NSEI
p_pelagic	13	3	1	0.190	0.157	0.037	0.499	1.287	0.124	0.267	NSEI
p_pelagic	13	3	2	0.073	0.056	0.012	0.237	1.284	0.060	0.283	NSEI
p_yellow	13	3	2	0.409	0.366	0.124	0.972	1.011	0.209	0.206	NSEI
p_pelagic	13	4	1	0.196	0.162	0.043	0.521	1.282	0.128	0.266	NSEI
p_pelagic	13	4	2	0.075	0.056	0.014	0.242	1.282	0.061	0.311	NSEI
p_yellow	13	4	2	0.406	0.359	0.127	0.965	1.011	0.209	0.225	NSEI
p_pelagic	13	5	1	0.200	0.168	0.043	0.510	1.260	0.124	0.258	NSEI
p_pelagic	13	5	2	0.076	0.058	0.014	0.249	1.298	0.062	0.292	NSEI
p_yellow	13	5	1	0.403	0.356	0.130	0.963	1.012	0.206	0.228	NSEI
p_pelagic	13	6	1	0.206	0.178	0.047	0.504	1.244	0.121	0.231	NSEI
p_pelagic	13	6	2	0.078	0.060	0.016	0.256	1.266	0.061	0.296	NSEI
p_pelagic	13	7	1	0.211	0.184	0.054	0.509	1.246	0.121	0.223	NSEI
p_pelagic	13	7	2	0.080	0.063	0.017	0.238	1.262	0.059	0.289	NSEI
p_pelagic	13	8	1	0.215	0.188	0.054	0.515	1.270	0.122	0.222	NSEI
p_pelagic	13	8	2	0.084	0.066	0.018	0.256	1.235	0.063	0.288	NSEI
p_pelagic	13	9	1	0.221	0.196	0.058	0.519	1.192	0.119	0.211	NSEI
p_pelagic	13	9	2	0.087	0.069	0.019	0.256	1.235	0.062	0.292	NSEI
p_slope	14	4	1	0.078	0.058	0.011	0.262	1.012	0.068	0.292	NSEO
p_pelagic	16	1	1	0.314	0.294	0.088	0.626	1.146	0.148	0.136	SSEO
p_pelagic	16	1	2	0.296	0.280	0.078	0.602	1.126	0.143	0.112	SSEO
p_pelagic	16	10	1	0.327	0.308	0.106	0.625	1.087	0.141	0.135	SSEO
p_pelagic	16	10	2	0.311	0.291	0.095	0.621	1.100	0.140	0.143	SSEO
p_pelagic	16	11	1	0.330	0.313	0.105	0.641	1.107	0.141	0.120	SSEO
p_pelagic	16	11	2	0.314	0.298	0.098	0.616	1.082	0.137	0.117	SSEO
p_pelagic	16	12	1	0.339	0.325	0.111	0.643	1.081	0.141	0.099	SSEO
p_pelagic	16	12	2	0.317	0.300	0.103	0.633	1.092	0.141	0.121	SSEO
p_pelagic	16	13	1	0.340	0.322	0.118	0.644	1.076	0.140	0.129	SSEO
p_pelagic	16	13	2	0.319	0.307	0.103	0.603	1.091	0.131	0.092	SSEO
p_pelagic	16	14	1	0.326	0.312	0.118	0.617	1.067	0.132	0.106	SSEO
p_pelagic	16	14	2	0.321	0.307	0.109	0.602	1.067	0.132	0.106	SSEO
p_pelagic	16	15	1	0.335	0.324	0.124	0.610	1.064	0.129	0.085	SSEO
p_pelagic	16	15	2	0.325	0.313	0.113	0.617	1.058	0.131	0.092	SSEO
p_pelagic	16	16	1	0.333	0.321	0.128	0.617	1.056	0.128	0.094	SSEO
p_pelagic	16	16	2	0.328	0.315	0.123	0.605	1.042	0.127	0.103	SSEO
p_pelagic	16	17	1	0.391	0.384	0.165	0.657	1.033	0.129	0.054	SSEO
p_pelagic	16	17	2	0.351	0.340	0.128	0.635	1.061	0.134	0.082	SSEO
p_pelagic	16	18	1	0.381	0.369	0.152	0.651	1.037	0.130	0.093	SSEO
p_pelagic	16	18	2	0.351	0.340	0.135	0.622	1.036	0.129	0.085	SSEO
p_pelagic	16	19	1	0.371	0.361	0.150	0.628	1.031	0.127	0.079	SSEO
p_pelagic	16	19	2	0.352	0.340	0.142	0.621	1.031	0.126	0.095	SSEO
p_pelagic	16	2	1	0.317	0.297	0.088	0.641	1.130	0.149	0.134	SSEO
p_pelagic	16	2	2	0.294	0.275	0.078	0.615	1.130	0.144	0.132	SSEO
p_pelagic	16	20	1	0.382	0.376	0.161	0.646	1.012	0.125	0.048	SSEO
p_pelagic	16	20	2	0.364	0.353	0.156	0.632	1.020	0.124	0.089	SSEO
p_pelagic	16	21	1	0.365	0.353	0.163	0.621	1.022	0.120	0.100	SSEO
p_pelagic	16	21	2	0.366	0.355	0.155	0.627	1.016	0.123	0.089	SSEO
p_pelagic	16	22	2	0.379	0.371	0.171	0.633	1.013	0.122	0.066	SSEO
p_pelagic	16	3	1	0.316	0.298	0.091	0.627	1.113	0.147	0.122	SSEO
p_pelagic	16	3	2	0.296	0.275	0.084	0.615	1.127	0.142	0.148	SSEO
p_pelagic	16	4	1	0.320	0.301	0.093	0.632	1.140	0.148	0.129	SSEO
p_pelagic	16	4	2	0.298	0.281	0.084	0.605	1.103	0.140	0.122	SSEO
p_pelagic	16	5	1	0.314	0.298	0.093	0.617	1.136	0.143	0.112	SSEO
p_pelagic	16	5	2	0.299	0.285	0.086	0.603	1.124	0.140	0.100	SSEO
p_pelagic	16	6	1	0.315	0.297	0.091	0.622	1.122	0.146	0.123	SSEO
p_pelagic	16	6	2	0.301	0.279	0.085	0.613	1.114	0.142	0.155	SSEO
p_pelagic	16	7	1	0.324	0.310	0.093	0.641	1.118	0.147	0.095	SSEO
p_pelagic	16	7	2	0.302	0.282	0.092	0.611	1.124	0.140	0.143	SSEO
p_pelagic	16	8	1	0.324	0.307	0.101	0.628	1.122	0.145	0.117	SSEO
p_pelagic	16	8	2	0.303	0.287	0.092	0.607	1.105	0.138	0.116	SSEO
p_pelagic	16	9	1	0.327	0.313	0.101	0.630	1.094	0.143	0.098	SSEO
p_pelagic	16	9	2	0.310	0.292	0.090	0.615	1.093	0.140	0.128	SSEO
p_pelagic	3	1	2	0.191	0.175	0.065	0.391	1.012	0.085	0.189	PWSI
p_pelagic	3	10	2	0.191	0.179	0.066	0.390	1.011	0.084	0.142	PWSI
p_pelagic	3	12	1	0.556	0.563	0.295	0.791	1.017	0.129	-0.054	PWSI
p_pelagic	3	13	1	0.557	0.563	0.296	0.795	1.010	0.131	-0.046	PWSI
p_pelagic	3	13	2	0.191	0.177	0.068	0.387	1.011	0.084	0.167	PWSI
p_pelagic	3	14	1	0.559	0.564	0.305	0.786	1.010	0.127	-0.039	PWSI
p_pelagic	3	15	2	0.188	0.176	0.067	0.392	1.010	0.083	0.144	PWSI
p_pelagic	3	2	1	0.556	0.561	0.297	0.793	1.014	0.128	-0.039	PWSI
p_pelagic	3	4	1	0.555	0.562	0.298	0.787	1.015	0.130	-0.054	PWSI
p_pelagic	3	5	1	0.556	0.559	0.297	0.789	1.011	0.128	-0.023	PWSI
p_pelagic	3	6	1	0.554	0.558	0.295	0.792	1.012	0.132	-0.030	PWSI
p_pelagic	3	6	2	0.192	0.177	0.067	0.396	1.013	0.085	0.175	PWSI
p_pelagic	3	7	1	0.555	0.555	0.293	0.799	1.010	0.132	0.000	PWSI
p_pelagic	3	8	2	0.192	0.179	0.068	0.391	1.011	0.085	0.153	PWSI
p_pelagic	3	9	1	0.555	0.558	0.294	0.790	1.013	0.129	-0.023	PWSI
p_pelagic	4	14	2	0.552	0.559	0.288	0.789	1.010	0.131	-0.054	PWSO
p_pelagic	4	15	2	0.551	0.554	0.292	0.791	1.011	0.129	-0.023	PWSO
p_black	8	40	1	0.491	0.418	0.342	0.964	1.011	0.194	0.376	afognak
p_black	8	48	1	0.536	0.491	0.411	0.971	1.010	0.148	0.303	afognak

Table Xb. True parameters with an Rhat in excess of 1.1

variable	area_n	year/species	mean	median	lower	upper	Rhat	sd	skew	area
beta2_pH	11	1	0.425	0.364	0.181	1.053	1.101	0.237	0.257	CSEO
beta2_pelagic	11		2.538	1.641	0.252	7.081	1.505	2.180	0.411	CSEO
beta0_yellow	11		-0.225	-0.186	-0.589	0.002	1.215	0.229	-0.170	CSEO
beta0_pelagic	13		-2.266	-2.141	-4.534	-0.261	1.429	1.194	-0.105	NSEI
beta1_pelagic	13		5.009	4.654	1.598	8.793	1.378	2.167	0.164	NSEI
beta2_pelagic	13		0.119	0.092	0.051	0.316	1.300	0.080	0.340	NSEI
beta3_pelagic	13		29.692	28.694	23.254	41.049	1.206	5.007	0.199	NSEI
beta2_pelagic	14		1.317	0.699	0.221	5.320	1.311	1.437	0.430	NSEO
beta2_yellow	14		-5.908	-4.432	-18.626	-0.379	1.193	4.975	-0.297	NSEO
beta0_pH	15	4	0.838	1.011	-0.477	1.524	1.182	0.563	-0.307	SSEI
beta1_pH	15	4	0.911	0.735	0.220	2.314	1.182	0.603	0.292	SSEI
beta0_pelagic	16		-0.940	-0.864	-2.242	-0.016	1.324	0.634	-0.120	SSEO
beta1_pelagic	16		2.368	2.297	0.857	4.789	1.446	1.037	0.068	SSEO
beta2_pelagic	16		0.421	0.198	0.079	2.725	1.134	0.698	0.319	SSEO
tau_beta2_pH	2	3	0.250	0.111	0.042	1.246	1.168	0.710	0.196	NG
tau_beta1_pH	3	4	2.043	0.085	0.011	16.263	1.103	6.008	0.326	PWSI
beta0_pH	3	1	1.328	1.407	0.395	1.780	1.222	0.337	-0.234	PWSI
beta1_pH	3	1	2.002	1.799	1.130	3.748	1.254	0.669	0.303	PWSI
beta0_pH	8	1	-0.749	-0.663	-2.276	-0.044	1.116	0.492	-0.175	afognak
beta1_pH	9	1	2.134	1.946	1.219	4.436	1.131	0.751	0.250	eastside
lambda_H	10		0.242	0.162	0.027	0.863	1.175	0.493	0.162	northeast

Table Xc. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.01.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.01	614.00	215.00	1,027.00	337.00
Prop. of total	0.74	0.26	0.75	0.25
Prop. median less than 1	0.24	0.26	0.31	0.45
Prop. median less than 10	0.34	0.58	0.50	0.77
Prop. median less than 50	0.48	0.84	0.64	0.84
Median of the median values	60.09	5.49	9.90	1.54
Mean of the median values	581.01	153.15	253.01	168.58
Mean skew of posteriors	0.25	0.29	0.27	0.25

Table Xd. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.1.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.1	54.00	8.00	88.00	29.00
Prop. of total	0.87	0.13	0.75	0.25
Prop. median less than 1	0.04	0.62	0.58	0.69
Prop. median less than 10	0.06	1.00	0.60	1.00
Prop. median less than 50	0.06	1.00	0.68	1.00
Median of the median values	225.37	0.21	0.12	0.18
Mean of the median values	458.82	1.55	120.08	0.87
Mean skew of posteriors	0.27	0.21	0.19	0.18

Table Xe. All parameters and derived quantities that are not converged relative to an Rhat of 1.1.

variable	Freq
beta0_pelagic	2
beta0_pH	3
beta0_yellow	1
beta1_pelagic	2
beta1_pH	3
beta2_pelagic	4
beta2_yellow	1
beta3_pelagic	1
Bp_ay	12
Bp_ayg	9
Bp_ayu	13
eps_pH	1
Hb_ay	13
Hb_ayg	11
Hb_ayu	13
Ho_ay	3
Ho_ayu	5
Hp_ay	15
Hp_ayg	12
Hp_ayu	15
Hs_ayu	1
Hy_ay	3
Hy_ayu	4
lambda_H	1
p_pelagic	43
p_slope	1
R_ay	3
R_ayg	5
R_ayu	5
Rb_ay	4
Rb_ayg	5
Rb_ayu	8
Rd_ay	5
Rd_ayu	7
re_pelagic	5
re_pH	2
Ro_ay	10
Ro_ayg	5
Ro_ayu	30
Rp_ay	3
Rp_ayg	4
Rp_ayu	10
Rs_ayg	1
Rs_ayu	3
Ry_ay	7
Ry_ayg	5
Ry_ayu	24
tau_beta2_pH	1

Parameter estimates:

Summary Table of Parameter Estimates
Parameter	mean	sd	Lower_CI	Median	Upper_CI
mu_bc_H[1]	-0.014	0.068	-0.139	-0.018	0.132
mu_bc_H[2]	0.076	0.054	-0.022	0.073	0.188
mu_bc_H[3]	-0.271	0.067	-0.399	-0.271	-0.132
mu_bc_H[4]	-0.931	0.181	-1.298	-0.925	-0.592
mu_bc_H[5]	1.389	1.272	0.162	1.095	4.607
mu_bc_H[6]	-2.403	0.321	-3.013	-2.413	-1.769
mu_bc_H[7]	-0.454	0.102	-0.668	-0.451	-0.262
mu_bc_H[8]	0.249	0.352	-0.345	0.217	0.992
mu_bc_H[9]	-0.250	0.126	-0.492	-0.250	0.005
mu_bc_H[10]	0.057	0.066	-0.065	0.057	0.192
mu_bc_H[11]	-0.124	0.037	-0.196	-0.123	-0.051
mu_bc_H[12]	-0.252	0.108	-0.486	-0.247	-0.056
mu_bc_H[13]	-0.159	0.073	-0.299	-0.160	-0.014
mu_bc_H[14]	-0.309	0.090	-0.493	-0.306	-0.141
mu_bc_H[15]	-0.327	0.047	-0.413	-0.328	-0.234
mu_bc_H[16]	-0.190	0.366	-0.831	-0.219	0.635
mu_bc_R[1]	1.041	0.120	0.806	1.040	1.273
mu_bc_R[2]	1.016	0.077	0.855	1.020	1.158
mu_bc_R[3]	0.220	0.089	0.041	0.221	0.390
mu_bc_R[4]	0.655	0.198	0.241	0.661	1.019
mu_bc_R[5]	1.682	0.365	0.982	1.674	2.414
mu_bc_R[6]	-1.430	0.336	-2.090	-1.431	-0.743
mu_bc_R[7]	0.517	0.166	0.187	0.521	0.832
mu_bc_R[8]	0.640	0.150	0.357	0.640	0.941
mu_bc_R[9]	0.384	0.167	0.054	0.389	0.692
mu_bc_R[10]	0.892	0.102	0.690	0.892	1.092
mu_bc_R[11]	1.108	0.074	0.964	1.107	1.260
mu_bc_R[12]	0.889	0.160	0.568	0.893	1.202
mu_bc_R[13]	1.067	0.093	0.885	1.069	1.247
mu_bc_R[14]	0.854	0.121	0.613	0.855	1.079
mu_bc_R[15]	0.727	0.098	0.534	0.728	0.919
mu_bc_R[16]	1.270	0.116	1.037	1.270	1.496
tau_pH[1]	2.439	0.182	2.097	2.427	2.814
tau_pH[2]	1.585	0.148	1.314	1.582	1.881
tau_pH[3]	2.272	0.294	1.734	2.262	2.876
tau_pH[4]	1.053	0.146	0.791	1.043	1.363
tau_pH[5]	1.023	0.154	0.753	1.011	1.361
beta0_pH[1,1]	0.536	0.170	0.199	0.539	0.859
beta0_pH[2,1]	1.433	0.163	1.097	1.437	1.729
beta0_pH[3,1]	1.328	0.337	0.395	1.407	1.780
beta0_pH[4,1]	1.593	0.227	1.116	1.603	2.011
beta0_pH[5,1]	-0.794	0.382	-1.735	-0.745	-0.179
beta0_pH[6,1]	-0.591	0.474	-1.816	-0.461	0.020
beta0_pH[7,1]	0.752	0.010	0.732	0.752	0.773
beta0_pH[8,1]	-0.749	0.492	-2.276	-0.663	-0.044
beta0_pH[9,1]	-0.337	0.291	-1.017	-0.306	0.152
beta0_pH[10,1]	0.283	0.200	-0.121	0.287	0.658
beta0_pH[11,1]	0.069	0.326	-0.556	0.084	0.659
beta0_pH[12,1]	0.629	0.197	0.223	0.640	0.990
beta0_pH[13,1]	-0.696	0.144	-0.987	-0.691	-0.429
beta0_pH[14,1]	0.025	0.171	-0.308	0.027	0.354
beta0_pH[15,1]	0.044	0.204	-0.444	0.068	0.378
beta0_pH[16,1]	-0.899	0.209	-1.350	-0.888	-0.517
beta0_pH[1,2]	2.566	0.083	2.411	2.565	2.735
beta0_pH[2,2]	3.079	0.022	3.036	3.078	3.124
beta0_pH[3,2]	3.625	0.042	3.544	3.625	3.708
beta0_pH[4,2]	2.937	0.019	2.900	2.937	2.975
beta0_pH[5,2]	4.502	1.391	2.685	4.233	7.917
beta0_pH[6,2]	3.326	0.159	3.032	3.322	3.649
beta0_pH[7,2]	2.026	0.050	1.931	2.026	2.126
beta0_pH[8,2]	2.824	0.066	2.698	2.824	2.954
beta0_pH[9,2]	3.955	0.206	3.557	3.955	4.366
beta0_pH[10,2]	3.998	0.130	3.749	3.996	4.256
beta0_pH[11,2]	1.889	0.009	1.872	1.889	1.906
beta0_pH[12,2]	1.802	0.069	1.673	1.800	1.939
beta0_pH[13,2]	2.499	0.026	2.449	2.499	2.551
beta0_pH[14,2]	1.805	0.024	1.760	1.805	1.852
beta0_pH[15,2]	2.551	0.017	2.518	2.551	2.584
beta0_pH[16,2]	2.777	0.025	2.729	2.777	2.827
beta0_pH[1,3]	0.682	0.605	-1.013	0.844	1.367
beta0_pH[2,3]	2.126	0.017	2.093	2.127	2.160
beta0_pH[3,3]	2.689	0.024	2.642	2.688	2.736
beta0_pH[4,3]	2.980	0.034	2.915	2.980	3.046
beta0_pH[5,3]	3.874	2.856	0.993	3.047	11.164
beta0_pH[6,3]	1.254	0.333	0.668	1.235	1.968
beta0_pH[7,3]	0.857	0.049	0.760	0.855	0.954
beta0_pH[8,3]	0.285	0.120	0.032	0.291	0.501
beta0_pH[9,3]	-2.866	1.106	-5.262	-2.740	-1.012
beta0_pH[10,3]	-0.909	0.893	-2.990	-0.792	0.555
beta0_pH[11,3]	0.109	11.438	-22.747	0.272	22.626
beta0_pH[12,3]	0.155	11.580	-22.741	0.303	23.284
beta0_pH[13,3]	0.285	11.417	-22.140	0.483	22.926
beta0_pH[14,3]	0.079	11.489	-21.821	0.309	22.515
beta0_pH[15,3]	0.258	11.572	-21.861	0.369	23.250
beta0_pH[16,3]	0.216	11.349	-21.716	0.515	22.345
beta0_pH[11,4]	1.530	0.721	-0.295	1.618	2.720
beta0_pH[12,4]	1.283	1.088	-1.240	1.301	3.411
beta0_pH[13,4]	1.901	0.799	0.106	1.983	3.223
beta0_pH[14,4]	0.646	0.641	-0.909	0.721	1.707
beta0_pH[15,4]	0.838	0.563	-0.477	1.011	1.524
beta0_pH[16,4]	1.147	0.881	-1.139	1.212	2.628
beta0_pH[11,5]	1.288	0.105	1.102	1.277	1.521
beta0_pH[12,5]	-2.318	0.423	-3.266	-2.279	-1.586
beta0_pH[13,5]	0.760	0.055	0.662	0.757	0.880
beta0_pH[14,5]	0.626	0.234	0.167	0.625	1.077
beta0_pH[15,5]	2.282	0.447	1.603	2.191	3.357
beta0_pH[16,5]	-0.771	0.069	-0.903	-0.773	-0.635
beta1_pH[1,1]	2.561	0.448	1.828	2.516	3.564
beta1_pH[2,1]	1.587	0.332	1.008	1.565	2.365
beta1_pH[3,1]	2.002	0.669	1.130	1.799	3.748
beta1_pH[4,1]	1.903	0.481	1.183	1.828	3.249
beta1_pH[5,1]	2.305	0.492	1.517	2.236	3.494
beta1_pH[6,1]	2.314	0.942	1.129	2.027	4.636
beta1_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,1]	2.542	1.035	1.165	2.219	4.786
beta1_pH[9,1]	2.134	0.751	1.219	1.946	4.436
beta1_pH[10,1]	2.122	0.370	1.491	2.088	2.928
beta1_pH[11,1]	3.365	0.540	2.472	3.296	4.614
beta1_pH[12,1]	2.905	0.292	2.347	2.906	3.518
beta1_pH[13,1]	3.517	0.230	3.079	3.506	3.997
beta1_pH[14,1]	2.833	0.309	2.228	2.828	3.457
beta1_pH[15,1]	2.415	0.289	1.907	2.392	3.072
beta1_pH[16,1]	4.079	0.288	3.544	4.065	4.691
beta1_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[1,3]	3.435	1.639	1.230	2.949	7.237
beta1_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,3]	4.865	2.322	2.202	4.101	11.261
beta1_pH[9,3]	8.439	2.631	4.186	8.104	14.038
beta1_pH[10,3]	7.246	2.742	3.195	6.767	13.375
beta1_pH[11,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[11,4]	1.981	0.765	0.566	1.929	3.732
beta1_pH[12,4]	4.117	1.117	2.013	4.078	6.672
beta1_pH[13,4]	2.487	0.829	1.051	2.408	4.294
beta1_pH[14,4]	2.763	0.700	1.582	2.706	4.387
beta1_pH[15,4]	0.911	0.603	0.220	0.735	2.314
beta1_pH[16,4]	3.907	0.929	2.299	3.825	6.303
beta1_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,1]	1.290	0.842	0.358	0.976	3.343
beta2_pH[2,1]	1.674	0.958	0.308	1.493	3.432
beta2_pH[3,1]	1.227	0.907	0.139	0.997	2.942
beta2_pH[4,1]	1.144	0.793	0.209	0.868	2.908
beta2_pH[5,1]	2.255	1.895	0.293	1.756	7.795
beta2_pH[6,1]	1.041	1.741	0.103	0.373	6.606
beta2_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,1]	0.859	1.543	0.108	0.324	6.277
beta2_pH[9,1]	1.098	1.574	0.133	0.543	6.062
beta2_pH[10,1]	1.448	1.686	0.303	0.864	7.167
beta2_pH[11,1]	0.425	0.237	0.181	0.364	1.053
beta2_pH[12,1]	1.530	0.798	0.610	1.270	3.647
beta2_pH[13,1]	0.942	0.352	0.534	0.860	1.849
beta2_pH[14,1]	1.099	0.632	0.460	0.915	3.115
beta2_pH[15,1]	1.027	0.626	0.361	0.853	2.914
beta2_pH[16,1]	1.028	0.306	0.626	0.975	1.786
beta2_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,3]	2.209	4.080	0.120	0.498	15.548
beta2_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,3]	2.549	2.194	0.571	1.591	8.503
beta2_pH[9,3]	0.190	0.190	0.081	0.158	0.453
beta2_pH[10,3]	0.303	0.347	0.102	0.226	0.957
beta2_pH[11,3]	-8.537	6.063	-22.779	-7.410	-0.433
beta2_pH[12,3]	-8.536	6.048	-22.504	-7.363	-0.482
beta2_pH[13,3]	-8.542	6.112	-22.739	-7.282	-0.454
beta2_pH[14,3]	-8.534	6.184	-22.643	-7.227	-0.427
beta2_pH[15,3]	-8.530	6.072	-23.080	-7.333	-0.412
beta2_pH[16,3]	-8.528	6.120	-22.883	-7.330	-0.473
beta2_pH[11,4]	-4.494	3.616	-14.458	-3.423	-0.675
beta2_pH[12,4]	-4.910	3.650	-14.651	-3.942	-0.887
beta2_pH[13,4]	-4.215	3.633	-14.433	-3.023	-0.713
beta2_pH[14,4]	-4.312	3.600	-14.666	-3.093	-0.806
beta2_pH[15,4]	-4.688	3.596	-14.693	-3.633	-0.773
beta2_pH[16,4]	-4.559	3.291	-13.878	-3.536	-1.167
beta2_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta3_pH[1,1]	34.784	1.059	32.825	34.779	37.086
beta3_pH[2,1]	32.783	1.372	30.514	32.731	35.836
beta3_pH[3,1]	33.326	2.035	29.292	33.146	38.599
beta3_pH[4,1]	32.836	2.035	29.674	32.623	37.758
beta3_pH[5,1]	27.558	1.086	25.935	27.455	30.302
beta3_pH[6,1]	33.394	3.243	26.719	33.179	40.649
beta3_pH[7,1]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,1]	34.642	4.064	26.955	34.537	42.171
beta3_pH[9,1]	32.411	3.304	27.793	31.705	41.249
beta3_pH[10,1]	32.535	1.301	30.253	32.439	35.323
beta3_pH[11,1]	31.379	1.103	29.322	31.420	33.552
beta3_pH[12,1]	30.803	0.484	29.813	30.821	31.715
beta3_pH[13,1]	31.382	0.557	30.359	31.342	32.558
beta3_pH[14,1]	32.558	0.750	31.211	32.527	34.131
beta3_pH[15,1]	30.906	0.729	29.391	30.941	32.273
beta3_pH[16,1]	30.122	0.366	29.389	30.116	30.833
beta3_pH[1,2]	34.393	5.532	25.484	34.411	43.556
beta3_pH[2,2]	34.482	5.462	25.520	34.450	43.610
beta3_pH[3,2]	30.400	7.180	18.577	30.453	42.321
beta3_pH[4,2]	30.390	7.217	18.591	30.501	42.331
beta3_pH[5,2]	30.366	7.138	18.485	30.389	42.334
beta3_pH[6,2]	30.459	7.193	18.726	30.402	42.443
beta3_pH[7,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[9,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[10,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[11,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[12,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[13,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[14,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[15,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[16,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[1,3]	39.653	2.713	33.083	40.141	43.677
beta3_pH[2,3]	34.327	5.482	25.403	34.356	43.570
beta3_pH[3,3]	30.328	7.173	18.639	30.251	42.457
beta3_pH[4,3]	30.281	7.108	18.575	30.335	42.369
beta3_pH[5,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[6,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[7,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,3]	42.120	0.823	40.932	41.871	43.861
beta3_pH[9,3]	35.928	1.640	34.527	35.289	40.577
beta3_pH[10,3]	37.777	2.497	34.629	37.113	43.338
beta3_pH[11,3]	38.414	2.586	34.205	38.375	42.728
beta3_pH[12,3]	38.482	2.558	34.268	38.470	42.730
beta3_pH[13,3]	38.576	2.604	34.257	38.524	42.814
beta3_pH[14,3]	38.449	2.620	34.208	38.409	42.751
beta3_pH[15,3]	38.464	2.628	34.241	38.451	42.793
beta3_pH[16,3]	38.481	2.586	34.223	38.375	42.761
beta3_pH[11,4]	40.568	1.206	38.493	40.396	43.244
beta3_pH[12,4]	42.247	0.670	40.456	42.392	43.099
beta3_pH[13,4]	40.973	0.977	39.170	40.952	42.985
beta3_pH[14,4]	40.243	0.733	38.854	40.219	41.759
beta3_pH[15,4]	41.306	1.434	37.784	41.441	43.766
beta3_pH[16,4]	41.739	0.470	40.877	41.769	42.711
beta3_pH[11,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[12,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[13,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[14,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[15,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[16,5]	25.000	0.000	25.000	25.000	25.000
beta4_pH[1,1]	0.263	0.021	0.221	0.262	0.305
beta4_pH[2,1]	0.211	0.005	0.201	0.211	0.221
beta4_pH[3,1]	0.172	0.007	0.159	0.172	0.186
beta4_pH[4,1]	0.294	0.011	0.272	0.294	0.316
beta4_pH[5,1]	0.424	0.301	0.083	0.385	0.994
beta4_pH[6,1]	0.789	0.392	0.316	0.740	1.489
beta4_pH[7,1]	0.848	0.342	0.336	0.794	1.650
beta4_pH[8,1]	0.156	0.069	0.042	0.149	0.310
beta4_pH[9,1]	0.215	0.086	0.062	0.211	0.395
beta4_pH[10,1]	0.001	0.001	0.000	0.001	0.003
beta4_pH[11,1]	0.447	0.012	0.424	0.446	0.470
beta4_pH[12,1]	0.643	0.023	0.598	0.642	0.689
beta4_pH[13,1]	0.629	0.013	0.603	0.629	0.656
beta4_pH[14,1]	0.669	0.031	0.612	0.668	0.730
beta4_pH[15,1]	0.796	0.021	0.755	0.796	0.839
beta4_pH[16,1]	1.214	0.041	1.136	1.213	1.299
beta4_pH[1,2]	0.296	0.096	0.124	0.289	0.502
beta4_pH[2,2]	0.514	0.023	0.470	0.514	0.559
beta4_pH[3,2]	0.446	0.012	0.423	0.446	0.469
beta4_pH[4,2]	0.654	0.038	0.579	0.653	0.731
beta4_pH[5,2]	0.736	0.989	0.115	0.539	2.537
beta4_pH[6,2]	0.910	0.848	0.219	0.736	2.647
beta4_pH[7,2]	0.897	0.538	0.349	0.811	1.874
beta4_pH[8,2]	0.850	0.202	0.475	0.842	1.273
beta4_pH[9,2]	1.150	1.039	0.286	0.883	3.758
beta4_pH[10,2]	0.457	0.052	0.359	0.455	0.563
beta4_pH[11,2]	1.270	0.050	1.176	1.269	1.371
beta4_pH[12,2]	0.611	0.111	0.410	0.609	0.838
beta4_pH[13,2]	0.953	0.045	0.866	0.952	1.045
beta4_pH[14,2]	0.935	0.064	0.813	0.933	1.062
beta4_pH[15,2]	1.009	0.025	0.960	1.009	1.061
beta4_pH[16,2]	1.391	0.077	1.246	1.389	1.545
beta4_pH[1,3]	0.241	0.078	0.102	0.236	0.404
beta4_pH[2,3]	0.050	0.017	0.020	0.049	0.085
beta4_pH[3,3]	0.052	0.010	0.034	0.052	0.072
beta4_pH[4,3]	0.167	0.031	0.110	0.167	0.229
beta4_pH[5,3]	0.747	0.895	0.117	0.547	2.566
beta4_pH[6,3]	0.880	0.783	0.208	0.725	2.360
beta4_pH[7,3]	0.896	0.431	0.357	0.816	1.938
beta4_pH[8,3]	0.390	0.182	0.107	0.367	0.817
beta4_pH[9,3]	0.918	0.858	0.166	0.710	2.797
beta4_pH[10,3]	0.055	0.038	0.003	0.048	0.138
beta4_pH[11,3]	0.629	0.280	0.254	0.584	1.299
beta4_pH[12,3]	0.730	0.250	0.379	0.687	1.322
beta4_pH[13,3]	0.801	0.380	0.313	0.722	1.761
beta4_pH[14,3]	0.861	0.220	0.505	0.835	1.382
beta4_pH[15,3]	0.797	0.204	0.470	0.774	1.259
beta4_pH[16,3]	0.828	0.373	0.324	0.764	1.685
beta4_pH[1,4]	0.635	0.402	0.201	0.553	1.541
beta4_pH[2,4]	0.830	0.907	0.113	0.592	2.957
beta4_pH[3,4]	0.846	0.890	0.117	0.603	3.111
beta4_pH[4,4]	0.727	0.457	0.202	0.623	1.858
beta4_pH[5,4]	0.774	0.993	0.119	0.562	2.721
beta4_pH[6,4]	0.908	0.727	0.229	0.734	2.859
beta4_pH[7,4]	0.892	0.428	0.367	0.818	1.871
beta4_pH[8,4]	0.739	0.650	0.154	0.595	2.335
beta4_pH[9,4]	0.742	0.740	0.120	0.549	2.565
beta4_pH[10,4]	1.424	2.849	0.006	0.382	10.232
beta4_pH[11,4]	0.427	0.019	0.391	0.427	0.464
beta4_pH[12,4]	0.534	0.045	0.445	0.533	0.622
beta4_pH[13,4]	0.836	0.033	0.774	0.836	0.900
beta4_pH[14,4]	0.877	0.061	0.765	0.875	1.003
beta4_pH[15,4]	0.617	0.018	0.582	0.617	0.653
beta4_pH[16,4]	0.665	0.044	0.580	0.665	0.755
beta4_pH[1,5]	0.633	0.377	0.196	0.558	1.520
beta4_pH[2,5]	0.850	1.033	0.111	0.584	3.233
beta4_pH[3,5]	0.853	0.893	0.115	0.594	3.242
beta4_pH[4,5]	0.737	0.507	0.208	0.620	1.912
beta4_pH[5,5]	0.745	0.895	0.108	0.552	2.613
beta4_pH[6,5]	0.923	0.805	0.203	0.751	2.575
beta4_pH[7,5]	0.886	0.427	0.358	0.804	1.844
beta4_pH[8,5]	0.736	0.690	0.149	0.587	2.089
beta4_pH[9,5]	0.793	0.984	0.119	0.561	2.854
beta4_pH[10,5]	1.587	3.345	0.008	0.397	12.685
beta4_pH[11,5]	0.311	0.081	0.161	0.308	0.477
beta4_pH[12,5]	0.865	0.286	0.466	0.806	1.592
beta4_pH[13,5]	2.550	0.352	1.870	2.543	3.274
beta4_pH[14,5]	0.846	0.195	0.514	0.830	1.280
beta4_pH[15,5]	0.922	0.075	0.795	0.914	1.097
beta4_pH[16,5]	0.964	0.398	0.387	0.898	1.950
beta0_pelagic[1]	2.267	0.036	2.197	2.266	2.340
beta0_pelagic[2]	1.538	0.007	1.524	1.538	1.552
beta0_pelagic[3]	0.207	0.231	-0.334	0.247	0.572
beta0_pelagic[4]	0.222	0.238	-0.422	0.241	0.612
beta0_pelagic[5]	1.441	0.154	1.150	1.439	1.754
beta0_pelagic[6]	1.355	0.061	1.238	1.353	1.481
beta0_pelagic[7]	1.470	0.037	1.401	1.468	1.546
beta0_pelagic[8]	1.672	0.043	1.594	1.671	1.761
beta0_pelagic[9]	2.774	0.063	2.659	2.771	2.901
beta0_pelagic[10]	2.603	0.031	2.544	2.602	2.666
beta0_pelagic[11]	-0.137	0.180	-0.593	-0.116	0.148
beta0_pelagic[12]	1.799	0.035	1.733	1.798	1.872
beta0_pelagic[13]	-2.266	1.194	-4.534	-2.141	-0.261
beta0_pelagic[14]	-0.266	0.174	-0.662	-0.247	0.025
beta0_pelagic[15]	-0.210	0.035	-0.304	-0.195	-0.180
beta0_pelagic[16]	-0.940	0.634	-2.242	-0.864	-0.016
beta1_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[3]	0.743	0.262	0.300	0.723	1.420
beta1_pelagic[4]	0.826	0.259	0.388	0.809	1.482
beta1_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[11]	1.146	0.255	0.757	1.116	1.844
beta1_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[13]	5.009	2.167	1.598	4.654	8.793
beta1_pelagic[14]	1.703	0.430	1.074	1.623	2.793
beta1_pelagic[15]	0.097	0.167	0.000	0.014	0.634
beta1_pelagic[16]	2.368	1.037	0.857	2.297	4.789
beta2_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[3]	6.435	6.111	0.216	4.684	21.991
beta2_pelagic[4]	7.722	6.075	0.354	6.333	21.828
beta2_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[11]	2.538	2.180	0.252	1.641	7.081
beta2_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[13]	0.119	0.080	0.051	0.092	0.316
beta2_pelagic[14]	1.317	1.437	0.221	0.699	5.320
beta2_pelagic[15]	2.600	1.911	0.150	2.179	7.118
beta2_pelagic[16]	0.421	0.698	0.079	0.198	2.725
beta3_pelagic[1]	28.774	3.912	22.354	28.724	35.171
beta3_pelagic[2]	28.733	3.893	22.327	28.756	35.144
beta3_pelagic[3]	27.923	2.604	23.441	28.308	32.047
beta3_pelagic[4]	26.117	1.456	23.040	26.256	29.542
beta3_pelagic[5]	29.416	6.639	18.602	29.654	40.216
beta3_pelagic[6]	29.564	6.657	18.575	29.558	40.394
beta3_pelagic[7]	29.545	6.570	18.644	29.511	40.471
beta3_pelagic[8]	29.565	6.613	18.590	29.673	40.379
beta3_pelagic[9]	29.621	6.627	18.553	29.696	40.545
beta3_pelagic[10]	29.468	6.649	18.607	29.467	40.395
beta3_pelagic[11]	30.103	1.172	27.998	30.032	32.745
beta3_pelagic[12]	30.000	0.000	30.000	30.000	30.000
beta3_pelagic[13]	29.692	5.007	23.254	28.694	41.049
beta3_pelagic[14]	33.957	1.546	31.343	33.877	37.652
beta3_pelagic[15]	34.270	5.661	23.649	35.107	41.667
beta3_pelagic[16]	30.427	3.615	23.922	30.572	38.277
beta0_yellow[1]	-0.483	0.080	-0.637	-0.482	-0.330
beta0_yellow[2]	0.539	0.087	0.339	0.549	0.680
beta0_yellow[3]	-0.205	0.127	-0.460	-0.208	0.015
beta0_yellow[4]	0.910	0.234	0.253	0.973	1.191
beta0_yellow[5]	0.235	0.331	-0.476	0.252	0.826
beta0_yellow[6]	0.820	0.106	0.611	0.820	1.034
beta0_yellow[7]	1.010	0.102	0.812	1.010	1.216
beta0_yellow[8]	1.018	0.092	0.835	1.016	1.198
beta0_yellow[9]	0.442	0.099	0.250	0.442	0.634
beta0_yellow[10]	0.538	0.069	0.397	0.539	0.672
beta0_yellow[11]	-0.225	0.229	-0.589	-0.186	0.002
beta0_yellow[12]	-1.094	0.097	-1.281	-1.095	-0.908
beta0_yellow[13]	-1.356	0.177	-1.732	-1.342	-1.065
beta0_yellow[14]	-0.248	0.139	-0.565	-0.239	-0.014
beta0_yellow[15]	-1.246	0.135	-1.574	-1.226	-1.035
beta0_yellow[16]	-0.253	0.093	-0.428	-0.255	-0.072
beta1_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[2]	1.019	0.238	0.592	1.007	1.495
beta1_yellow[3]	0.461	0.244	0.019	0.475	0.921
beta1_yellow[4]	1.330	0.581	0.659	1.185	3.160
beta1_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[11]	0.257	0.350	0.001	0.074	1.172
beta1_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[13]	0.999	1.052	0.019	0.725	4.756
beta1_yellow[14]	0.645	0.823	0.013	0.422	3.143
beta1_yellow[15]	0.166	0.219	0.011	0.080	0.740
beta1_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[2]	-7.672	5.867	-21.859	-6.370	-0.404
beta2_yellow[3]	-7.719	5.861	-21.464	-6.438	-0.392
beta2_yellow[4]	-5.596	5.831	-19.815	-3.644	-0.127
beta2_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[11]	-7.826	5.749	-21.424	-6.605	-0.423
beta2_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[13]	-6.149	5.155	-18.581	-5.059	-0.339
beta2_yellow[14]	-5.908	4.975	-18.626	-4.432	-0.379
beta2_yellow[15]	-7.686	5.720	-21.192	-6.575	-0.270
beta2_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta3_yellow[1]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[2]	28.891	1.149	27.291	28.670	31.892
beta3_yellow[3]	32.328	3.356	23.138	32.503	38.832
beta3_yellow[4]	29.637	3.192	23.613	28.464	35.569
beta3_yellow[5]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[6]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[7]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[8]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[9]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[10]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[11]	35.514	3.879	30.324	34.443	43.581
beta3_yellow[12]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[13]	33.937	2.714	29.308	34.016	40.591
beta3_yellow[14]	33.633	3.389	29.175	33.201	42.526
beta3_yellow[15]	36.645	3.864	30.290	36.382	43.502
beta3_yellow[16]	35.000	0.000	35.000	35.000	35.000
beta0_black[1]	0.012	0.076	-0.139	0.012	0.159
beta0_black[2]	1.856	0.031	1.795	1.856	1.917
beta0_black[3]	1.239	0.037	1.165	1.239	1.311
beta0_black[4]	2.425	0.047	2.336	2.424	2.520
beta0_black[5]	5.232	2.496	1.728	4.722	11.416
beta0_black[6]	5.227	2.174	2.585	4.653	10.931
beta0_black[7]	4.104	2.138	1.633	3.517	10.055
beta0_black[8]	0.892	0.220	0.476	0.888	1.349
beta0_black[9]	2.818	0.266	2.315	2.818	3.362
beta0_black[10]	1.288	0.050	1.194	1.287	1.389
beta0_black[11]	2.978	0.052	2.875	2.977	3.080
beta0_black[12]	4.908	0.196	4.519	4.904	5.297
beta0_black[13]	0.446	0.340	0.016	0.366	1.224
beta0_black[14]	2.852	0.103	2.653	2.852	3.058
beta0_black[15]	0.722	0.052	0.621	0.722	0.824
beta0_black[16]	3.772	0.073	3.629	3.771	3.912
beta2_black[1]	0.000	0.000	0.000	0.000	0.000
beta2_black[2]	0.000	0.000	0.000	0.000	0.000
beta2_black[3]	0.000	0.000	0.000	0.000	0.000
beta2_black[4]	0.000	0.000	0.000	0.000	0.000
beta2_black[5]	0.000	0.000	0.000	0.000	0.000
beta2_black[6]	0.000	0.000	0.000	0.000	0.000
beta2_black[7]	0.000	0.000	0.000	0.000	0.000
beta2_black[8]	0.000	0.000	0.000	0.000	0.000
beta2_black[9]	0.000	0.000	0.000	0.000	0.000
beta2_black[10]	0.000	0.000	0.000	0.000	0.000
beta2_black[11]	0.000	0.000	0.000	0.000	0.000
beta2_black[12]	0.000	0.000	0.000	0.000	0.000
beta2_black[13]	-2.525	1.763	-6.695	-2.136	-0.287
beta2_black[14]	0.000	0.000	0.000	0.000	0.000
beta2_black[15]	0.000	0.000	0.000	0.000	0.000
beta2_black[16]	0.000	0.000	0.000	0.000	0.000
beta3_black[1]	25.000	0.000	25.000	25.000	25.000
beta3_black[2]	25.000	0.000	25.000	25.000	25.000
beta3_black[3]	25.000	0.000	25.000	25.000	25.000
beta3_black[4]	25.000	0.000	25.000	25.000	25.000
beta3_black[5]	25.000	0.000	25.000	25.000	25.000
beta3_black[6]	25.000	0.000	25.000	25.000	25.000
beta3_black[7]	25.000	0.000	25.000	25.000	25.000
beta3_black[8]	25.000	0.000	25.000	25.000	25.000
beta3_black[9]	25.000	0.000	25.000	25.000	25.000
beta3_black[10]	25.000	0.000	25.000	25.000	25.000
beta3_black[11]	25.000	0.000	25.000	25.000	25.000
beta3_black[12]	25.000	0.000	25.000	25.000	25.000
beta3_black[13]	37.265	3.482	26.132	38.109	41.013
beta3_black[14]	25.000	0.000	25.000	25.000	25.000
beta3_black[15]	25.000	0.000	25.000	25.000	25.000
beta3_black[16]	25.000	0.000	25.000	25.000	25.000
beta4_black[1]	-0.327	0.092	-0.511	-0.324	-0.147
beta4_black[2]	0.258	0.052	0.158	0.257	0.363
beta4_black[3]	-0.718	0.064	-0.849	-0.718	-0.594
beta4_black[4]	0.632	0.130	0.390	0.630	0.900
beta4_black[5]	0.846	1.862	-1.085	0.531	4.613
beta4_black[6]	0.927	1.819	-0.909	0.576	4.684
beta4_black[7]	0.857	1.800	-1.040	0.523	4.854
beta4_black[8]	0.081	0.287	-0.526	0.091	0.611
beta4_black[9]	1.063	0.837	-0.103	0.884	3.201
beta4_black[10]	0.074	0.066	-0.057	0.075	0.206
beta4_black[11]	-0.611	0.065	-0.734	-0.613	-0.481
beta4_black[12]	1.232	0.290	0.679	1.220	1.813
beta4_black[13]	-1.003	0.077	-1.161	-1.001	-0.856
beta4_black[14]	0.216	0.180	-0.125	0.210	0.582
beta4_black[15]	0.003	0.046	-0.088	0.003	0.094
beta4_black[16]	-0.416	0.115	-0.641	-0.418	-0.181
beta0_dsr[11]	-0.338	0.009	-0.356	-0.338	-0.320
beta0_dsr[12]	1.420	0.044	1.336	1.420	1.508
beta0_dsr[13]	0.143	0.022	0.100	0.143	0.187
beta0_dsr[14]	-0.129	0.017	-0.163	-0.128	-0.095
beta0_dsr[15]	0.196	0.014	0.169	0.196	0.223
beta0_dsr[16]	0.208	0.015	0.178	0.208	0.237
beta1_dsr[11]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[12]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[13]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[14]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[15]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[16]	0.000	0.000	0.000	0.000	0.000
beta4_dsr[11]	0.548	0.035	0.480	0.548	0.616
beta4_dsr[12]	0.796	0.233	0.355	0.789	1.257
beta4_dsr[13]	-0.078	0.040	-0.154	-0.079	0.001
beta4_dsr[14]	-0.213	0.072	-0.361	-0.211	-0.076
beta4_dsr[15]	0.225	0.021	0.183	0.225	0.268
beta4_dsr[16]	-0.099	0.046	-0.188	-0.098	-0.010
beta0_slope[11]	-2.197	0.021	-2.239	-2.197	-2.157
beta0_slope[12]	-5.156	0.172	-5.474	-5.163	-4.810
beta0_slope[13]	-1.474	0.033	-1.540	-1.473	-1.409
beta0_slope[14]	-2.683	0.047	-2.777	-2.683	-2.590
beta0_slope[15]	-1.591	0.022	-1.635	-1.590	-1.547
beta0_slope[16]	-3.016	0.046	-3.109	-3.015	-2.930
beta1_slope[11]	0.000	0.000	0.000	0.000	0.000
beta1_slope[12]	0.000	0.000	0.000	0.000	0.000
beta1_slope[13]	0.000	0.000	0.000	0.000	0.000
beta1_slope[14]	0.000	0.000	0.000	0.000	0.000
beta1_slope[15]	0.000	0.000	0.000	0.000	0.000
beta1_slope[16]	0.000	0.000	0.000	0.000	0.000
beta4_slope[11]	-0.345	0.076	-0.494	-0.343	-0.200
beta4_slope[12]	-4.246	0.815	-5.950	-4.202	-2.836
beta4_slope[13]	0.308	0.053	0.204	0.309	0.413
beta4_slope[14]	-0.192	0.152	-0.499	-0.188	0.097
beta4_slope[15]	-0.363	0.033	-0.431	-0.364	-0.299
beta4_slope[16]	0.221	0.104	0.014	0.223	0.418
beta5_slope[11]	3.071	0.106	2.874	3.068	3.285
beta5_slope[12]	1.578	0.403	0.818	1.554	2.397
beta5_slope[13]	0.847	0.077	0.704	0.846	0.999
beta5_slope[14]	3.785	0.357	3.117	3.771	4.541
beta5_slope[15]	1.416	0.073	1.275	1.415	1.563
beta5_slope[16]	2.684	0.233	2.255	2.676	3.163
tau_comp[1]	3.781	0.298	3.236	3.763	4.384
tau_comp[2]	2.858	0.257	2.405	2.845	3.391
tau_comp[3]	0.869	0.075	0.730	0.868	1.023
tau_comp[4]	1.358	0.214	0.984	1.344	1.816
tau_comp[5]	1.205	0.178	0.887	1.194	1.578
sigma_H[1]	0.207	0.047	0.125	0.203	0.306
sigma_H[2]	0.175	0.030	0.125	0.172	0.241
sigma_H[3]	0.190	0.040	0.120	0.188	0.273
sigma_H[4]	0.460	0.080	0.329	0.451	0.645
sigma_H[5]	0.962	0.204	0.588	0.950	1.381
sigma_H[6]	0.538	0.195	0.160	0.535	0.935
sigma_H[7]	0.310	0.062	0.216	0.302	0.453
sigma_H[8]	0.419	0.089	0.274	0.408	0.619
sigma_H[9]	0.514	0.119	0.332	0.501	0.784
sigma_H[10]	0.211	0.039	0.143	0.207	0.297
sigma_H[11]	0.265	0.044	0.192	0.260	0.364
sigma_H[12]	0.382	0.145	0.197	0.339	0.713
sigma_H[13]	0.220	0.036	0.160	0.216	0.299
sigma_H[14]	0.499	0.089	0.348	0.491	0.691
sigma_H[15]	0.229	0.037	0.166	0.226	0.310
sigma_H[16]	0.213	0.041	0.146	0.210	0.303
lambda_H[1]	2.338	3.631	0.080	1.033	12.263
lambda_H[2]	5.088	4.900	0.427	3.645	17.464
lambda_H[3]	5.268	7.416	0.258	2.784	24.476
lambda_H[4]	0.007	0.005	0.001	0.005	0.018
lambda_H[5]	2.022	4.190	0.027	0.625	13.552
lambda_H[6]	6.745	14.282	0.010	0.499	47.261
lambda_H[7]	0.012	0.009	0.002	0.010	0.034
lambda_H[8]	7.956	9.811	0.102	4.403	34.589
lambda_H[9]	0.015	0.010	0.003	0.013	0.040
lambda_H[10]	0.242	0.493	0.027	0.162	0.863
lambda_H[11]	0.219	0.330	0.010	0.101	1.052
lambda_H[12]	3.629	4.752	0.194	2.048	16.765
lambda_H[13]	3.241	2.895	0.271	2.438	10.880
lambda_H[14]	3.342	4.201	0.223	2.067	14.584
lambda_H[15]	0.019	0.018	0.003	0.014	0.062
lambda_H[16]	0.578	0.869	0.034	0.299	2.698
mu_lambda_H[1]	4.086	1.861	0.996	3.927	8.025
mu_lambda_H[2]	3.690	1.961	0.500	3.511	7.890
mu_lambda_H[3]	3.329	1.833	0.711	3.044	7.688
sigma_lambda_H[1]	8.167	4.401	1.590	7.464	17.968
sigma_lambda_H[2]	8.136	4.737	0.841	7.529	18.493
sigma_lambda_H[3]	6.122	4.064	0.917	5.140	16.446
beta_H[1,1]	6.538	1.307	3.504	6.789	8.376
beta_H[2,1]	9.759	0.630	8.368	9.784	10.925
beta_H[3,1]	7.822	0.801	6.014	7.907	9.134
beta_H[4,1]	10.746	7.620	-4.962	10.976	25.438
beta_H[5,1]	-0.447	2.642	-5.726	-0.307	4.093
beta_H[6,1]	3.271	4.193	-7.166	4.804	8.069
beta_H[7,1]	1.406	5.633	-10.745	1.716	11.466
beta_H[8,1]	1.280	3.440	-2.543	1.209	3.557
beta_H[9,1]	13.623	5.644	2.363	13.549	24.989
beta_H[10,1]	6.881	1.782	3.116	6.929	10.212
beta_H[11,1]	4.780	3.573	-2.929	5.374	9.978
beta_H[12,1]	2.624	1.107	0.697	2.541	5.083
beta_H[13,1]	9.070	0.874	7.042	9.137	10.559
beta_H[14,1]	2.121	1.033	0.010	2.150	4.062
beta_H[15,1]	-7.037	3.361	-13.240	-7.077	-0.005
beta_H[16,1]	3.916	2.965	-0.862	3.498	10.841
beta_H[1,2]	7.781	0.272	7.231	7.786	8.284
beta_H[2,2]	9.884	0.163	9.560	9.883	10.203
beta_H[3,2]	8.798	0.201	8.410	8.799	9.201
beta_H[4,2]	2.992	1.458	0.163	2.944	5.891
beta_H[5,2]	1.685	0.997	-0.278	1.686	3.601
beta_H[6,2]	6.110	1.049	3.604	6.263	7.743
beta_H[7,2]	2.358	1.034	0.487	2.287	4.566
beta_H[8,2]	3.005	1.028	1.316	3.141	4.237
beta_H[9,2]	3.221	1.078	1.167	3.201	5.412
beta_H[10,2]	8.037	0.362	7.291	8.045	8.724
beta_H[11,2]	9.844	0.649	8.856	9.741	11.252
beta_H[12,2]	3.932	0.366	3.237	3.921	4.698
beta_H[13,2]	9.146	0.236	8.707	9.139	9.626
beta_H[14,2]	4.028	0.345	3.344	4.033	4.688
beta_H[15,2]	11.538	0.616	10.294	11.556	12.691
beta_H[16,2]	4.519	0.815	2.989	4.490	6.132
beta_H[1,3]	8.431	0.260	7.961	8.426	8.939
beta_H[2,3]	9.858	0.147	9.577	9.854	10.153
beta_H[3,3]	9.460	0.160	9.151	9.457	9.788
beta_H[4,3]	-2.129	0.866	-3.888	-2.120	-0.521
beta_H[5,3]	3.870	0.628	2.592	3.882	5.043
beta_H[6,3]	8.289	1.135	6.690	7.957	10.657
beta_H[7,3]	-2.540	0.614	-3.760	-2.546	-1.321
beta_H[8,3]	5.274	0.498	4.665	5.204	6.290
beta_H[9,3]	-2.752	0.724	-4.232	-2.727	-1.363
beta_H[10,3]	8.542	0.274	8.019	8.534	9.092
beta_H[11,3]	8.495	0.293	7.873	8.521	9.016
beta_H[12,3]	5.269	0.327	4.503	5.305	5.817
beta_H[13,3]	8.876	0.175	8.516	8.877	9.216
beta_H[14,3]	5.781	0.270	5.160	5.804	6.251
beta_H[15,3]	10.271	0.299	9.685	10.264	10.855
beta_H[16,3]	6.045	0.585	4.822	6.077	7.063
beta_H[1,4]	8.093	0.187	7.697	8.101	8.435
beta_H[2,4]	9.847	0.130	9.588	9.852	10.095
beta_H[3,4]	9.951	0.151	9.616	9.964	10.220
beta_H[4,4]	11.806	0.468	10.866	11.820	12.704
beta_H[5,4]	5.591	0.736	4.391	5.515	7.237
beta_H[6,4]	7.246	0.908	5.297	7.499	8.498
beta_H[7,4]	8.536	0.345	7.859	8.545	9.186
beta_H[8,4]	6.723	0.242	6.224	6.736	7.126
beta_H[9,4]	7.440	0.454	6.558	7.438	8.338
beta_H[10,4]	7.536	0.226	7.101	7.528	8.014
beta_H[11,4]	9.502	0.191	9.139	9.499	9.878
beta_H[12,4]	7.245	0.195	6.870	7.238	7.652
beta_H[13,4]	9.062	0.141	8.772	9.068	9.329
beta_H[14,4]	7.844	0.218	7.439	7.840	8.277
beta_H[15,4]	9.461	0.221	9.029	9.461	9.890
beta_H[16,4]	9.399	0.237	8.938	9.392	9.886
beta_H[1,5]	8.894	0.152	8.585	8.894	9.194
beta_H[2,5]	10.674	0.100	10.487	10.672	10.877
beta_H[3,5]	10.762	0.162	10.465	10.758	11.098
beta_H[4,5]	8.361	0.507	7.400	8.352	9.377
beta_H[5,5]	5.181	0.617	3.719	5.258	6.166
beta_H[6,5]	8.938	0.627	8.002	8.798	10.314
beta_H[7,5]	6.575	0.343	5.914	6.570	7.276
beta_H[8,5]	8.255	0.206	7.909	8.244	8.705
beta_H[9,5]	8.202	0.456	7.280	8.203	9.090
beta_H[10,5]	10.034	0.223	9.593	10.036	10.467
beta_H[11,5]	11.596	0.219	11.161	11.594	12.023
beta_H[12,5]	8.614	0.191	8.242	8.610	9.003
beta_H[13,5]	10.127	0.132	9.875	10.126	10.398
beta_H[14,5]	9.245	0.216	8.850	9.233	9.702
beta_H[15,5]	11.301	0.235	10.843	11.299	11.762
beta_H[16,5]	9.875	0.184	9.496	9.882	10.222
beta_H[1,6]	10.123	0.239	9.756	10.086	10.703
beta_H[2,6]	11.474	0.115	11.246	11.473	11.715
beta_H[3,6]	10.623	0.156	10.287	10.630	10.912
beta_H[4,6]	12.898	0.899	11.062	12.917	14.606
beta_H[5,6]	5.660	0.623	4.556	5.631	7.027
beta_H[6,6]	8.746	0.548	7.511	8.781	9.753
beta_H[7,6]	10.547	0.589	9.374	10.540	11.680
beta_H[8,6]	9.536	0.255	9.040	9.551	9.946
beta_H[9,6]	8.268	0.763	6.801	8.255	9.760
beta_H[10,6]	9.154	0.340	8.413	9.178	9.756
beta_H[11,6]	10.673	0.359	9.887	10.697	11.285
beta_H[12,6]	9.369	0.236	8.927	9.365	9.870
beta_H[13,6]	11.071	0.159	10.771	11.067	11.389
beta_H[14,6]	9.921	0.286	9.333	9.923	10.465
beta_H[15,6]	10.522	0.423	9.689	10.523	11.351
beta_H[16,6]	10.583	0.253	10.037	10.597	11.061
beta_H[1,7]	10.143	1.239	6.939	10.441	11.804
beta_H[2,7]	12.113	0.535	10.966	12.146	13.074
beta_H[3,7]	10.295	0.668	8.789	10.364	11.432
beta_H[4,7]	1.536	4.552	-6.886	1.481	10.792
beta_H[5,7]	5.845	2.019	1.971	5.893	9.727
beta_H[6,7]	7.377	3.042	-0.587	8.470	11.119
beta_H[7,7]	7.646	2.948	1.926	7.617	13.610
beta_H[8,7]	10.872	0.900	9.189	10.880	12.529
beta_H[9,7]	5.090	3.949	-2.715	5.130	12.878
beta_H[10,7]	10.019	1.612	7.101	9.885	13.596
beta_H[11,7]	11.401	1.829	8.273	11.187	15.516
beta_H[12,7]	9.763	0.972	7.604	9.824	11.462
beta_H[13,7]	11.668	0.731	10.004	11.740	12.835
beta_H[14,7]	10.634	0.917	8.697	10.664	12.388
beta_H[15,7]	14.067	2.201	9.819	14.079	18.519
beta_H[16,7]	12.815	1.334	10.561	12.695	15.737
beta0_H[1]	8.275	18.210	-27.671	8.637	45.170
beta0_H[2]	10.428	8.789	-6.962	10.477	27.248
beta0_H[3]	10.191	10.265	-10.200	9.962	32.422
beta0_H[4]	7.631	183.675	-362.516	5.898	376.413
beta0_H[5]	3.955	29.846	-51.555	4.283	60.087
beta0_H[6]	7.025	50.796	-100.936	7.797	111.248
beta0_H[7]	4.255	142.648	-278.289	4.691	293.210
beta0_H[8]	6.702	30.360	-18.355	6.447	28.763
beta0_H[9]	8.069	120.931	-238.223	8.121	247.088
beta0_H[10]	8.881	36.673	-69.439	9.002	85.040
beta0_H[11]	10.256	52.138	-105.076	10.200	125.216
beta0_H[12]	6.292	12.040	-18.531	6.621	30.525
beta0_H[13]	9.563	11.378	-11.861	9.907	30.375
beta0_H[14]	7.400	11.525	-15.085	7.206	32.889
beta0_H[15]	5.654	116.114	-225.201	5.473	247.925
beta0_H[16]	9.451	31.318	-53.831	8.480	73.300

Rockfish Historical Harvest Estimates

Phil Joy & Adam Reimer

February 2025